Bioprinting characterization dataset of 3D experiments aimed at optimizing the fabrication of tumor–endothelium models

The bioprinting characterization dataset documents a comprehensive series of 3D bioprinting experiments aimed at optimizing the fabrication of tumor–endothelium models through systematic variation of bioprinting parameters and hydrogel compositions. The purpose of the dataset is to develop and refin...

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Detalles Bibliográficos
Autores: Parchehbaf Kashani, Melika, Martínez, Elena, García-Díaz, María
Tipo de recurso: conjunto de datos
Fecha de publicación:2025
País:España
Institución:Consorci de Serveis Universitaris de Catalunya (CSUC)
Repositorio:CORA.Repositori de Dades de Recerca
OAI Identifier:oai:dnet:cora.rdr____::f4bb14762d8b524923bb43a79c982106
Acceso en línea:https://doi.org/10.34810/DATA2657
Access Level:acceso abierto
Palabra clave:Medicine, Health and Life Sciences
Bioprinting
Hydrogels
Microphysiological Systems
Neoplasms, Glandular and Epithelial
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spelling Bioprinting characterization dataset of 3D experiments aimed at optimizing the fabrication of tumor–endothelium modelsParchehbaf Kashani, MelikaMartínez, ElenaGarcía-Díaz, MaríaMedicine, Health and Life SciencesBioprintingHydrogelsMicrophysiological SystemsNeoplasms, Glandular and EpithelialThe bioprinting characterization dataset documents a comprehensive series of 3D bioprinting experiments aimed at optimizing the fabrication of tumor–endothelium models through systematic variation of bioprinting parameters and hydrogel compositions. The purpose of the dataset is to develop and refine reproducible bioprinted hydrogels that accurately replicate physiological features such as endothelial barrier integrity and cancer cell extravasation within engineered extracellular matrix (ECM) environments. The data encompass multiple experimental trials in which different hydrogel formulations, UV crosslinking conditions, and cell seeding strategies were tested to identify the optimal conditions for construct stability, cell viability, and functional performance. Each experiment is recorded in detail across several time points, from initial cell thawing and ECM preparation to cytokine treatment, TEER (transendothelial electrical resistance) measurements, and immunostaining. The dataset integrates both procedural metadata, such as plate layouts, reagent information, and experimental goals, and assay results, including live/dead viability, diffusion, and permeability analyses. Overall, the dataset represents a structured and iterative effort to optimize bioprinting techniques and biomaterial compositions for fabricating robust, functional 3D microphysiological models that enable the study of cancer cell migration, endothelial responses, and biomaterial–cell interactions in a controlled in vitro system.CORA.Repositori de Dades de RecercaParchehbaf Kashani, Melika2025info:eu-repo/semantics/datasethttps://doi.org/10.34810/DATA2657reponame:CORA.Repositori de Dades de Recercainstname:Consorci de Serveis Universitaris de Catalunya (CSUC)Inglésinfo:eu-repo/semantics/openAccessCC0 1.0oai:dnet:cora.rdr____::f4bb14762d8b524923bb43a79c9821062026-06-17T12:20:17Z
dc.title.none.fl_str_mv Bioprinting characterization dataset of 3D experiments aimed at optimizing the fabrication of tumor–endothelium models
title Bioprinting characterization dataset of 3D experiments aimed at optimizing the fabrication of tumor–endothelium models
spellingShingle Bioprinting characterization dataset of 3D experiments aimed at optimizing the fabrication of tumor–endothelium models
Parchehbaf Kashani, Melika
Medicine, Health and Life Sciences
Bioprinting
Hydrogels
Microphysiological Systems
Neoplasms, Glandular and Epithelial
title_short Bioprinting characterization dataset of 3D experiments aimed at optimizing the fabrication of tumor–endothelium models
title_full Bioprinting characterization dataset of 3D experiments aimed at optimizing the fabrication of tumor–endothelium models
title_fullStr Bioprinting characterization dataset of 3D experiments aimed at optimizing the fabrication of tumor–endothelium models
title_full_unstemmed Bioprinting characterization dataset of 3D experiments aimed at optimizing the fabrication of tumor–endothelium models
title_sort Bioprinting characterization dataset of 3D experiments aimed at optimizing the fabrication of tumor–endothelium models
dc.creator.none.fl_str_mv Parchehbaf Kashani, Melika
Martínez, Elena
García-Díaz, María
author Parchehbaf Kashani, Melika
author_facet Parchehbaf Kashani, Melika
Martínez, Elena
García-Díaz, María
author_role author
author2 Martínez, Elena
García-Díaz, María
author2_role author
author
dc.contributor.none.fl_str_mv Parchehbaf Kashani, Melika
dc.subject.none.fl_str_mv Medicine, Health and Life Sciences
Bioprinting
Hydrogels
Microphysiological Systems
Neoplasms, Glandular and Epithelial
topic Medicine, Health and Life Sciences
Bioprinting
Hydrogels
Microphysiological Systems
Neoplasms, Glandular and Epithelial
description The bioprinting characterization dataset documents a comprehensive series of 3D bioprinting experiments aimed at optimizing the fabrication of tumor–endothelium models through systematic variation of bioprinting parameters and hydrogel compositions. The purpose of the dataset is to develop and refine reproducible bioprinted hydrogels that accurately replicate physiological features such as endothelial barrier integrity and cancer cell extravasation within engineered extracellular matrix (ECM) environments. The data encompass multiple experimental trials in which different hydrogel formulations, UV crosslinking conditions, and cell seeding strategies were tested to identify the optimal conditions for construct stability, cell viability, and functional performance. Each experiment is recorded in detail across several time points, from initial cell thawing and ECM preparation to cytokine treatment, TEER (transendothelial electrical resistance) measurements, and immunostaining. The dataset integrates both procedural metadata, such as plate layouts, reagent information, and experimental goals, and assay results, including live/dead viability, diffusion, and permeability analyses. Overall, the dataset represents a structured and iterative effort to optimize bioprinting techniques and biomaterial compositions for fabricating robust, functional 3D microphysiological models that enable the study of cancer cell migration, endothelial responses, and biomaterial–cell interactions in a controlled in vitro system.
publishDate 2025
dc.date.none.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/dataset
format dataset
dc.identifier.none.fl_str_mv https://doi.org/10.34810/DATA2657
url https://doi.org/10.34810/DATA2657
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
CC0 1.0
eu_rights_str_mv openAccess
rights_invalid_str_mv CC0 1.0
dc.publisher.none.fl_str_mv CORA.Repositori de Dades de Recerca
publisher.none.fl_str_mv CORA.Repositori de Dades de Recerca
dc.source.none.fl_str_mv reponame:CORA.Repositori de Dades de Recerca
instname:Consorci de Serveis Universitaris de Catalunya (CSUC)
instname_str Consorci de Serveis Universitaris de Catalunya (CSUC)
reponame_str CORA.Repositori de Dades de Recerca
collection CORA.Repositori de Dades de Recerca
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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